Change in Dynamic Characteristics of Super High-Rise Buildings Due to the 2011 Great East Japan Earthquake

Kashima, Toshihide; Koyama, Shin; Azuhata, Tatsuya; Inoue, Namihiko

doi:10.3130/aijt.21.493

Cited by 9 publications

(4 citation statements)

References 9 publications

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“…Observation of dynamic parameters of structures and its variation gives important information about the structural health of buildings. Long-term monitoring for tracking the natural frequency of the building could show fluctuation of this parameter associated to damage that could lead to retrofitting works [11,12]. Therefore, the main objective is to track natural frequency measured from recorded earthquake at the top of the building.…”

Section: Structural Health Monitoringmentioning

confidence: 99%

Monitoreo de la salud estructural de un edificio residencial de muros de corte de hormigón armado en Lima, Perú, utilizando un sensor 4d raspberry shake

Jiménez¹,

Antunez²,

Flores³

2022

TEC

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Lima, the capital of Peru, has not suffered from a great earthquake since 1746, making this a prone Mw 8.8 earthquake area according to seismological studies. In this context, seismic structural health monitoring presents an opportunity to assess rapidly buildings after a great earthquake and protect inhabitant from those buildings with high risk of collapse due to aftershocks. A basic seismic structural health monitoring arrangement of a fifteenth-floor residential building is presented using a low-cost sensor called Raspberry Shake 4D. The implemented sensor incorporates both a vertical velocity geophone and three orthogonally positioned microelectromechanical systems accelerometers. The building is a reinforced concrete shear walls structure located in Comas, north of Lima. More than thirty seismic events have been recorded, including the Mw 8.0 Lagunas earthquake (05/26/2019) and the Mw 5.8 (22/06/2021) with epicentral distances of 709 km and 94 km, respectively. Acceleration as high as 150 cm/s2 and as low as 2 cm/s2 have been recorded. It was possible to obtain fundamental frequencies of vibration in longitudinal and transversal directions of the building from the response calculated using the wavelet transform that have a good agreement with results of microtremor measurements performed at different floors. The computed scalograms for seismic records showed important values of energy amplitudes for the fundamental frequencies of the building. Finally, theoretical fundamental frequencies were obtained from a 3D finite element model and an elastic analysis.

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Section: Structural Health Monitoringmentioning

confidence: 99%

Monitoreo de la salud estructural de un edificio residencial de muros de corte de hormigón armado en Lima, Perú, utilizando un sensor 4d raspberry shake

Jiménez¹,

Antunez²,

Flores³

2022

TEC

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“…7 However, a significant change in frequency itself does not mean the existence of damage, because there are some other factors that may also cause changes in dynamic characteristics, such as the characteristics of ground motion itself, response amplitude, system nonlinearity, temperature changes, moisture absorption, soil structure interaction, and measurement noise. Kashima [8][9][10] identifies the dynamic characteristics of the building structure based on strong earthquake records, and the correlation between the dynamic characteristics of the structure and the response amplitude is analyzed. In the monitoring of a 17-story steel frame building, Nayeri et al 11 observed a strong correlation between modal frequency changes and temperature changes within 24 h. Wu et al 12 proposed the use of environmental vibration measurement and the recently developed random subspace identification method for continuous dynamic monitoring of office buildings.…”

Section: Introductionmentioning

confidence: 99%

Long-term monitoring of dynamic characteristics of high-rise and super high-rise buildings using strong motion records

Dong

Tian

Zhang

et al. 2021

Advances in Mechanical Engineering

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Seismic behavior of a structure is directly related to its dynamic characteristics, which include natural frequency, damping ratio, and mode shape. This study focuses on the long-term monitoring of dynamic characteristics of six selected target structures. The covariance-driven stochastic subspace identification (SSI) approach is used to estimate the fundamental natural frequency and damping ratio of target buildings based on long-term motion records in order to examine the temporal variation of dynamic properties. The fundamental natural frequency and damping ratio variations over time are first discussed. It is found that the fundamental natural frequency of some structures reduces dramatically after the 2011 Tohoku Earthquake, accompanied by a rise in damping ratio. Then, regression analysis is used to assess the relationship between dynamic characteristics and ground motion parameters (Peak ground acceleration (PGA), magnitude, focal depth, and epicentral distance) and structural response (root mean square acceleration, maximum response amplitude). It is discovered that the identified natural frequency has no clear correlation with the focal depth, a slight negative correlation with the epicentral distance, and a strong negative correlation with the magnitude and PGA. The root mean square acceleration and the maximum response amplitude are negatively correlated to the target buildings’ natural frequencies. Finally, the influence of environmental factors on dynamic properties is investigated.

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“…Many analysis results were reported regarding the vibration characteristics of buildings. [1][2][3]24 In recent years, studies on natural periods and damping ratios that are related to amplitude dependence, damage dependence, and aging have been published. [4][5][6][7]25 However, many of these reports are limited to the horizontal vibration characteristics.…”

Section: Introductionmentioning

confidence: 99%

“…After the 2011 Off the Pacific Coast of Tohoku Earthquake (hereinafter referred to as the 2011 Tohoku Earthquake), numerous earthquake observation records were obtained from a wide area of Japan. Many analysis results were reported regarding the vibration characteristics of buildings 1–3,24 . In recent years, studies on natural periods and damping ratios that are related to amplitude dependence, damage dependence, and aging have been published 4–7,25 .…”

Section: Introductionmentioning

confidence: 99%

Characteristics of the first‐mode vertical vibration of buildings based on earthquake observation records

Kinoshita

Nakamura

Kashima

2020

Japan Architectural Review

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This study focuses on the first‐modal natural periods and damping ratios of buildings in the vertical direction. An auto regression and exogenous (ARX) model is used to identify each vertical natural period and damping ratio. The targets comprise over 3,000 earthquake observation records for 18 buildings comprising reinforced concrete, steel and reinforced concrete, and steel structures. The identified values are summarized for each structural type, and their characteristics are discussed in view of the input amplitude and height of the buildings, compared to the natural period and damping ratio in the horizontal direction. Based on the results, a simple estimation equation is provided for the first‐mode vertical natural period.

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Change in Dynamic Characteristics of Super High-Rise Buildings Due to the 2011 Great East Japan Earthquake

Cited by 9 publications

References 9 publications

Monitoreo de la salud estructural de un edificio residencial de muros de corte de hormigón armado en Lima, Perú, utilizando un sensor 4d raspberry shake

Monitoreo de la salud estructural de un edificio residencial de muros de corte de hormigón armado en Lima, Perú, utilizando un sensor 4d raspberry shake

Long-term monitoring of dynamic characteristics of high-rise and super high-rise buildings using strong motion records

Characteristics of the first‐mode vertical vibration of buildings based on earthquake observation records

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